Duncan H. Gregory

Papers

Total Citations

126

H-Index

About

Duncan H. Gregory is a leading researcher at the intersection of nanotechnology, materials science, and bioinspired electronics, with a primary focus on developing advanced neural architectures for tactile sensing systems. His most impactful work, the 2017 paper "Nanowire FET Based Neural Element for Robotic Tactile Sensing Skin," has garnered 126 citations and introduces a groundbreaking hardware-implementable neural network (HNN) approach using Silicon nanowire field-effect transistors (υ-NWFETs). This innovation enables efficient, real-time tactile data processing for electronic skin (e-skin) applications, bridging the gap between biological neural networks and artificial sensing systems. Gregory's contributions are pivotal in advancing neuromorphic computing and soft robotics, demonstrating how nanoscale materials can mimic neural functions for enhanced sensory feedback. His work has significant implications for prosthetics, human-machine interfaces, and autonomous systems, showcasing his ability to translate fundamental nanoscience into practical, high-impact technologies. With a growing citation record and a reputation for pioneering neural-inspired hardware, Gregory continues to shape the future of intelligent, adaptive robotic systems.